Data Scientist

🏢 Twitch · 📍 San Francisco, CA 💰 $136,000 - $136,000 / yr
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Position Summary & Responsibilities

About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X,  and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About the Role

Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them. 

You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge.

This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA.

You can work in

🎯 Candidate Preparation Guide For Twitch Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Twitch assesses deep cultural alignment with creator-first community dynamics, massive scale systems engineering, and rapid product iteration.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Treating the platform like traditional broadcast media or static social networks
  • 2. Failing to prioritize creator and viewer sentiment in product decisions
  • 3. Giving generic software engineering answers without considering real-time streaming constraints
✨ Recommended Role Alignment Hook:

I design low-latency, hyper-engaged digital ecosystems where creators and communities build compounding value together.

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